International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 03 Issue: 03 | Mar-2016
p-ISSN: 2395-0072
www.irjet.net
Review on Data Analysis & Broadcasting Using Ibeacon Technology Akshay Somkuwar1, Akash Naidu2, Nikhil Motghare3, Sandesh Gaikwad4, Snehal Mankar5 Prof. D.S.Gawande6
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Student, CSE, Dr. Bababsaheb Ambedkar college of engineering and research, Maharashtra, India
6 Assistant
professor, CSE, Dr. Bababsaheb Ambedkar college of engineering and research, Maharashtra, India
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Abstract Data
mining
technique
provides
the
The improved Apriori algorithm can solve the problem of traditonal Apriori algorithm .After analyzing the Apriori algorithm,this algorithm is incapable due to it scans the database several times .Based on the planing of getting to database once,a new recovered algorithm formed on the Apriori is put forward in this paper. Experiments show that it can mostly adds computation competency.[1]
meaningful
information. This information is useful in market-basket analysis. By applying Apriori algorithm on transactional database with minimal support & minimal confidence frequent item set are generated. Ofers ,sales generated using analysis on frequent itemsets &
This algorithm is used for calculating support and confidence. iBeacon is a technology standard developed by Apple, that was introduced in 2013 at the World Wide Developer Conference (WWDC).
these result are
broadcasted to the customer on mobile with the help of iBeacon device. It provides easy
way to promote
the
This technology is used to create a small & secured network. iBeacon broadcast information which is then received by the App of customers. This type of service is not yet implemented in any store like iNSPIRE, Bigbazaar, etc
products.
1. INTRODUCTION Data mining is the core process of knowledge discovery in
iBeacons use coin cell batteries for their power supply,but it could be any sort of battery or it can be used for up to 2 years without replacing it and larger batteries have an even longer lifespan[2]
database. Apriori algorithm is improved by reducing the number of scanning database. The algorithm reduces the storage room, improves the competency of performance and correctness of the algorithm.
Promising sensing application is the iBeacon indoor Proximity technology proposed by Apple, where a BLE enabled mobile device can determined its position in an area by knowing how close it is to strategically placed simple wireless transmitters , named iBeacon[3]
It helps to generate sales & offers which will be broadcasted using ibeacon technology.ibeacon is a newly emerging bluetooth low energy device (ble) technology useful for indoor tracking. Ibeacon has its network range like immediate, near, far, unknown.
3. PROPOSED SYSTEM
2. LITERATURE REVIEW
The proposed application has following objectives: •
The Apriori algorithm was proposed by Agarwal and Srikant in 1994.Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation).
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